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try a differerent fix
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@ -458,23 +458,24 @@ static bool decode_helper(llama_context * ctx, llama_batch & batch, std::vector<
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return true;
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}
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#define K_TOKEN_CHUNK 4
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static void compute_logprobs(const float * batch_logits, int n_vocab, std::vector<std::thread>& workers,
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const std::vector<std::pair<size_t, llama_token>>& eval_pairs, std::vector<float>& eval_results) {
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constexpr int k_token_chunk = 4;
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if (eval_results.size() != eval_pairs.size()) {
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eval_results.resize(eval_pairs.size());
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}
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if (eval_pairs.empty()) return;
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size_t max_threads = std::min((eval_pairs.size() + k_token_chunk - 1)/k_token_chunk, workers.size());
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size_t max_threads = std::min((eval_pairs.size() + K_TOKEN_CHUNK - 1)/K_TOKEN_CHUNK, workers.size());
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std::atomic<int> counter(0);
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auto compute = [&counter, &eval_pairs, &eval_results, batch_logits, n_vocab, k_token_chunk] () {
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float local_logprobs[k_token_chunk];
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auto compute = [&counter, &eval_pairs, &eval_results, batch_logits, n_vocab] () {
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float local_logprobs[K_TOKEN_CHUNK];
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while (true) {
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size_t first = counter.fetch_add(k_token_chunk, std::memory_order_relaxed);
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size_t first = counter.fetch_add(K_TOKEN_CHUNK, std::memory_order_relaxed);
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if (first >= eval_results.size()) break;
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size_t last = std::min(first + k_token_chunk, eval_results.size());
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size_t last = std::min(first + K_TOKEN_CHUNK, eval_results.size());
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for (size_t i = first; i < last; ++i) {
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auto logits = batch_logits + eval_pairs[i].first * n_vocab;
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float max_logit = logits[0];
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@ -497,7 +498,6 @@ static void compute_logprobs(const float * batch_logits, int n_vocab, std::vecto
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for (size_t it = 0; it < max_threads; ++it) {
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workers[it].join();
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}
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}
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static void hellaswag_score(llama_context * ctx, const gpt_params & params) {
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